IS-LAND SYSTEMS and INFINITIX Collaborate to Enable Real-Time, Precision Data Analysis
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IS-LAND SYSTEMS and INFINITIX Collaborate to Enable Real-Time, Precision Data Analysis

Reprinted from Economic Daily News

 

Founded in 2008 in Taiwan, IS-LAND SYSTEMS Co., Ltd. is a renowned big data systems provider offering open-source, enterprise-level solutions that balance system performance and data security. IS-LAND SYSTEMS enables large enterprises to process big data in real time, obtain analytical solutions, and seize emerging insights and business opportunities.

 

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IS-LAND SYSTEMS’s Chief Architect, Ling-Xin Chen, noted, “IS-LAND SYSTEMS has long specialized in distributed technology, organizing and integrating massive data from various systems, then utilizing distributed storage and AI model construction for computational analysis. This approach provides high-value information to decision-makers, enabling them to plan strategies and execute action plans in response to shifting market conditions. Currently, IS-LAND SYSTEMS’s clientele includes notable companies in the semiconductor and financial sectors, which require IS-LAND SYSTEMS’s expertise to manage and analyze extensive data as they progress in their digital transformation.”

 

In the semiconductor industry, for example, production processes are closely monitored, generating vast amounts of data from all directions. When yield-related issues arise, the production line can immediately receive data analysis from IS-LAND SYSTEMS’s comprehensive solution to make adjustments and minimize potential losses. In the financial sector, IS-LAND SYSTEMS’s real-time data integration and AI-driven customer behavior analysis enable businesses to swiftly assess customer needs, creating “real-time and precise” data services that allow firms to capture opportunities and deliver relevant service information to customers, who benefit from timely, tailored services. These are among IS-LAND SYSTEMS’s successful case studies.

 

INFINITIX and IS-LAND SYSTEMS have collaborated to build a real-time, precision marketing platform using the Hare Data Platform and AI-Stack, helping enterprises provide consumers with up-to-the-minute promotional information.

 

Ling-Xin Chen emphasized, “Since the digital transformation trend began in 2013, the use of various applications and software has increased, resulting in an exponential growth in data. Companies began considering how to utilize these data sources. The pandemic accelerated digital transformation across industries, while the AI ecosystem matured, moving big data applications from mere storage to real-time AI-driven analysis and decision-making.

 

However, IS-LAND SYSTEMS recognizes that AI model analysis requires substantial computational power, supported by adequate hardware. That’s why we strategically partnered with INFINITIX, whose AI-Stack platform specializes in multi-GPU server coordination, maximizing GPU resources for AI computations. AI-Stack supports simultaneous processing by multiple users or AI models, fully optimizing hardware performance, and overcoming the limitation of needing one GPU per AI model. This reduces the need for continuous investment in AI resources, effectively lowering digital transformation costs for businesses.”

 

As digitalization, AI, and cybersecurity continue to advance and demand rises, real-time big data analysis and application capabilities will become key to dominating the market and pivotal to successful digital transformation. The partnership between IS-LAND SYSTEMS’s big data solutions and INFINITIX’s AI-Stack platform enables core big data processor Spark to utilize GPUs, allowing vast data sets to be simultaneously processed by multiple models. This collaboration maximizes the strengths of both companies, providing a highly economical and efficient path for industry digital upgrades, effectively reducing costs, saving time, and helping more companies accelerate and solidify their digital transformation to unlock the full value of big data in real-time, capture precise market insights, and enhance overall enterprise efficiency.

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